IEEE Access

Top Research Topics at IEEE Access?

IEEE Access focuses largely on the fields of Artificial intelligence, Algorithm, Pattern recognition, Control theory and Feature extraction. Machine learning and Computer vision are some topics wherein Artificial intelligence research discussed in IEEE Access have an impact. The journal connects the study in Pattern recognition with the closely related area of Feature (computer vision).

Control theory, Nonlinear system and Robustness (computer science) are among the areas of Control theory tackled.

• Artificial intelligence (22.16%)
• Algorithm (10.91%)
• Pattern recognition (8.95%)

What are the most cited papers published in the journal?

• Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! (4864 citations)
• Blockchains and Smart Contracts for the Internet of Things (1989 citations)
• The Internet of Things for Health Care: A Comprehensive Survey (1397 citations)

Research areas of the most cited articles at IEEE Access:

The most cited papers are organized to address concerns in the fields of Artificial intelligence, Computer network, Pattern recognition, Deep learning and Wireless. The journal papers with studies in Artificial intelligence featured incorporate elements of Machine learning and Computer vision. The works on Computer network tackled in the most cited publications bring together disciplines like Energy consumption, Cloud computing and Throughput.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in IEEE Access (based on the number of publications) are:

• Lajos Hanzo (133 papers) published 5 papers at the last edition, 9 less than at the previous edition,
• Muhammad Imran (104 papers) published 12 papers at the last edition, 18 less than at the previous edition,
• Mohsen Guizani (75 papers) published 7 papers at the last edition, 3 less than at the previous edition,
• Sanjeevikumar Padmanaban (64 papers) published 24 papers at the last edition, 1 less than at the previous edition,
• Houbing Song (60 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Access (based on the number of publications) are:

• Chinese Academy of Sciences (1130 papers) published 156 papers at the last edition, 219 less than at the previous edition,
• Beijing University of Posts and Telecommunications (982 papers) published 50 papers at the last edition, 202 less than at the previous edition,
• University of Electronic Science and Technology of China (957 papers) published 79 papers at the last edition, 210 less than at the previous edition,
• Xidian University (807 papers) published 67 papers at the last edition, 146 less than at the previous edition,
• Southeast University (767 papers) published 80 papers at the last edition, 145 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.93% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.02% of all publications and 75.49% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Research

While seeking opportunities in the field of Artificial Intelligence, Algorithm, Pattern recognition, Control theory, and Feature extraction, a wide range of careers can be explored. From academia to industry, the application of these research fields spans across multiple sectors.

One of the paths in academia could lead to becoming a professor or a research scientist. With an academic career, one can significantly contribute to the scientific community by conducting research, presenting research findings at conferences, writing scholarly articles, and educating the next generation of researchers and professionals.

Next to academia, a career in industry also proves to be equally fruitful for those with a research background. As an applied researcher, one can use learned concepts to solve real-world problems and significantly contribute to advancements in technology.

Another field that welcomes research scholars with open arms is that of teaching especially in the field of technology and computer sciences. To illustrate with a practical example, let's consider the path to becoming an elementary school teacher in Missouri. Even though it might seem like a deviation from the research-centric roles, such a career could allow researchers to use their expertise to mold young minds and lay solid foundations for potential researchers and tech enthusiast among them. It combines a passion for the subject with the joy of teaching, doubling both societal impact and personal job satisfaction.

The vast panorama of career opportunities that awaits researchers not only promises them professional growth but also allows them to give back to society in meaningful ways.